{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting the results -- Scenario II\n",
    "\n",
    "In this notebook, we plot the results, i.e., the spectral efficiency obtained by using the the *hybrid*, the *E2E*, and the *delay blind* approach under Scenario II. We assume that there are trained models stored in a folder to load and directly test. \n",
    "\n",
    "Due to storage limitations the **trained models** are currently not available in this repository. They **can be found at** https://kth.box.com/s/tcd7y7rg3yau75kctw3regmyns8kfkr6, under the folder *Trained_models_ScenarioII*. The test dataset can also be found at the same link, in the folder *Datasets*.\n",
    "\n",
    "Instead of running the models, the reader can directly load and plot the spectral efficiencies obtained by the three methods over the test dataset, by setting the parameter `load_from_memory` to `True`. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import libraries and utility functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import utilities as utils\n",
    "import matplotlib\n",
    "from matplotlib import pyplot as plt\n",
    "matplotlib.rcdefaults()\n",
    "matplotlib.rcParams.update( { 'font.size': 22,\n",
    "                              'lines.linewidth': 4,\n",
    "                              'lines.markersize': 15 } )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "%run setup.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test the trained models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Note that 'Datasets/ITU_VEHICULAR_B_5000_60kmph.npy' can be found at the link https://kth.box.com/s/tcd7y7rg3yau75kctw3regmyns8kfkr6\n",
    "# in the folder Datasets\n",
    "# The reader can select the test dataset they prefer. N.B. the parameter 'relative_speed', must be changed accordingly\n",
    "TEST_SET = 'Datasets/ITU_VEHICULAR_B_5000_60kmph.npy'\n",
    "# Relative speed between the base station and the mobile user equipemnt in m/s\n",
    "relative_speed = 16.67\n",
    "# It must be consistent with the doppler of the loaded dataset\n",
    "DOPPLER = (2e9 / 3e8) * relative_speed     \n",
    "DATASET = np.load( TEST_SET, allow_pickle = True )[()]\n",
    "NROF_FRAMES, NROF_SUBCARRIERS, NROF_SNRS = DATASET['channel'].shape\n",
    "NROF_MCS = len( DATASET[ 'block_sizes' ] )\n",
    "BLOCK_SIZES = DATASET[ 'block_sizes' ]\n",
    "# Snrs set that we consider\n",
    "snrs_set = [5,15, 25]\n",
    "tx_bw = 15e3 * 72 # Tranmission Bandwidth\n",
    "load_from_memory = True # Flag to skip running the models and directly load the spectral efficiencies from the memory\n",
    "# Maximum feedback delat that we consider\n",
    "maximum_delay = 9\n",
    "\n",
    "tput_HYBRID = []\n",
    "tput_DELAY_BLIND = []\n",
    "tput_E2E = []\n",
    "\n",
    "\n",
    "delays = range( 0, maximum_delay + 1)\n",
    "\n",
    "nrof_delays = len( delays )\n",
    "\n",
    "if load_from_memory == True:\n",
    "         \n",
    "    tput_DELAY_BLIND = np.load('Trained_models_ScenarioII_var/tput_DELAY-BLIND_sc_II_111.npy')\n",
    "    tput_HYBRID = np.load('Trained_models_ScenarioII_var/tput_HYBRID_sc_II_111.npy')\n",
    "    tput_E2E = np.load('Trained_models_ScenarioII_var/tput_E2E_sc_II_111.npy')\n",
    "\n",
    "else:\n",
    "\n",
    "    for DELAY in delays:\n",
    "\n",
    "        print( 'Simulating a channel reporting delay of %d ms'%( DELAY) )   \n",
    "\n",
    "\n",
    "        E2E_MODEL_FILE = 'Trained_models_ScenarioII/ANN_E2E_MCS_PRED_DELAY_%d_MEM_10_SNR.h5'%( DELAY )\n",
    "        HYBRID_MODEL_FILE='Trained_models_ScenarioII/ANN_MCS_PRED_WIENER_FILT_COEFF_AVERAGE_DELAY_%d.h5' %( DELAY ) \n",
    "        DELAY_BLIND_MODEL_FILE='Trained_models_ScenarioII/ANN_MCS_PRED.h5'\n",
    "\n",
    "        tputs, \\\n",
    "        error_rates, \\\n",
    "        mse, \\\n",
    "        ack_prob    = computation( TEST_SET,\n",
    "                                   HYBRID_MODEL_FILE,\n",
    "                                   DELAY_BLIND_MODEL_FILE,\n",
    "                                   E2E_MODEL_FILE,\n",
    "                                   DELAY,\n",
    "                                   DOPPLER,\n",
    "                                   noise=True,\n",
    "                                   train_fraction=0.2)\n",
    "\n",
    "        tput_DELAY_BLIND.append( tputs['ann_delayed'] )\n",
    "        tput_HYBRID.append( tputs['ann_ch_pr'] )\n",
    "        tput_E2E.append( tputs['ann_e2e'] )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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DB6R33pEGDpSqVpXatZMeeED6/vuM2d8AAAAAAKDEyiFZ0Ezbtg8F0pFlWS/mw3gA5FW1atK775pZ2XfckbvwOSLChJMHD0pffGFqGL//fv6XKUFoa9pUGjdOGjIk47HoaOnDD6U335Q++ST7MS6X1Lat+br/frMY5MKF0rx55mvHDufns21pzRrzNX68FBMj9eghXXqp+WrQIP9fIwAAAAAACGn+AuzStm0Hs9pWVdu2E/I6IAD5ZNQoaeJEaefO4I8tXdqE1+l27ZLq1Mm3oaGI+Ppr531DhmQOtp2UKWNmcPfrZ7Z/+y0jzF6wQIqLcz42Lk768kvzJZkAOz3Mvugic54CAAAAAIBizbGESJDhtfI7vLYsK9qyrLcty5pqWdbA/OwbKBEsSxo7VoqKCv7YtLTM2wMHmsX3gLxq0EC67TYzs//IEWnRIum++6Q2bXI+9rffpFdeMWF4hQpS9+7SU0+ZGdtZz1kAAAAAAFAs+KuB7WVZ1g7Lst6wLMuT5fFKlmX5uR88Wz9vWpZ1yLKsn7I8fpllWdssy/rVsqz//P1wf0kf27Y9XNKVgT4HgDMMHWqCwYiI4I7Lupje779LL78s/fRT9qBw7Fjpv/+Vjh7N21hR8oSHS926mXIha9aYWf8zZph62lWr+j82JUVavNiUKWnXzpTOGTjQ1NM+cKBwxg8AAAAAAApcQAG2pLqSLpM037Kscmc87pYUTF2B6X/342VZllvSy5Iul9RM0gDLsppJqinpj7+bpQbxHADSeTzS3LlShw5SZKT/tpafNVjnzzcLRDZvLlWpIl19tTR5svTtt9KkSSbEjo2Vhg2TTp7M39eAkqNKFRNCv/22tH+/tH699Mwzpg52eLj/Yw8fNnXab77ZLCrZqpV0772mTEliYuGMHwAAAAAA5DvLDmCBN8uyUiWdJ+kVSbGSetu2/atlWVUl7bNt2x3wE1pWXUmzbds+7+/tTpIesW370r+37/u76R5Jx2zbnm1Z1kzbtm906G+EpBGSVLVq1bYzZ84MdCjFSlxcnGJiYs72MBCirJQUVZs7V+e89JJcSUnKGlXbko62a6dyGzbInZyc6+dJqFVLK6dPNwv5odg5m39nXKdOqdz69aqwapUqrF6tqD/+yPmgv6WWKqW/WrXS0XbtdLR9e52qVcv/BRvkG/5tQrA4ZxAszhkEi3MGweKcQbA4ZxCsknzOXHTRRWts226XU7tAA+w0SdUkHZU0RdJVkq6W9IvyHmBfK+ky27aH/b09SNL5ku6V9JKk05KW2rb9Xk59t2vXzl69enWgQylWFi1apO7du5/tYSDULVki9eolnT6d+fHzz5eWLzczVVetMqUZFi+WfvxRig+iHP4LL0i3356xbdtSUlLwJUwQkkLq78yuXeYOgHnzpO++k06cCPzYOnUyFoPs2VMqW7bAhlnShdQ5gyKBcwbB4pxBsDhnECzOGQSLcwbBKsnnjGVZAQXYYQH2Z0uSbdspkoZZlvWLpHmSHsn1CHN6QrOI5K0F1T9QInXtKtWuLf3yS8ZjkZHSSy+Z7yMiTJuuXaUHHpCSk6W1a6XvvzeB9pIlvoPCKlWkhARTvuFMv/4qtWhhAvKkJGnAAGnIECk6uuBeI0qGunWlESPMV0qKtGKFCbPnzTMXYfxdnN29W3r9dfPldksdO2YE2m3bmscAAAAAAEBICPQ+/0z3Wtu2/f/s3Xd8FGX+B/DPk2STkEISIAQJHRSRXkSKCKiHFfXs9RQQewXRs3vW0zvFs6Anguihoj/lFA+xA4IiTU2kqChNmtQAgUCSzfP748s4u5uZ2ZktqZ/36zWvbJmdfQKTLZ/5zvd5AsDFAO6NwRg2AmgZcL3FoduIKNaUAu69FzBOTUlMlP7CfWwOdvl8Ej6PGwf8738yUeO330rf6z//GWjcGEhKkkD8q6+Ahg2DH//ll1LtPXcusGABcNNN8txHHCGT7338MXtmU/SSkoCBA4EHH5Qge9s2YNo0YMQIoHlz58f6/bLv3nef7OtNmwIXXABMngxs5FsRERERERERUXVzG2APhbQP+YPW+j0A/QCMjHIMiwEcrpRqq5RKBnAhgBlRbpOI7Jx/vgR+gEyM99RT7h+bmAj07AnccgswfTqwdSvw44/SgqFbt8rrz51rvZ1Vq4DHHgNOPhnIyZFJJo2QvKjI++9EFKhxYzOE3rABWLYMePJJaZ8Trp3Nzp3A228Do0YBLVoAXboAY8dKu5KSkqoZPxERERERERH9wVWArbWee6h9SOjty7XWr7p9MqXUmwAWAOiolNqglBp1aLs3QFqSrATwttZ6udttEpFHycnAzTdDKwWce65UQ0cqIQFo397+/l9/Db8Nv19aPvzzn8Dw4UCjRhKS19N+9hRjSgGdOwNjxkjF/65dwEcfAbfeChx1VPjHL18uB3lOOkn2zZNPljMQli93blNCRERERERERDHh2ANbKfWSi21orfXVbp5Ma32Rze0fAvjQzTaIKAauvx5F772HnMcei+/zzJ8PrF4NvPCCVLX+9lv4x2gNfP+9tHKw4vezRzFFrkEDs981IPtk4GSQu3bZP/bAAbPPNiAV2sOGybZOPFECbiIiIiIiIiKKqXAV2IeHLCMAdAu5LYryTSKqFrm5KHj6aSA/P77Po5RUaP/zn8D69RJmv/ceMHWqTL7XsaP94/7xj+DJJg133imPGz1atuMmFCey07KltAt5+23pnf3NN8Df/gYMGCBnGDjZsEHalFxwAZCbK5NB3n8/8PXXMrEkEREREREREUXNsQJbaz008LpSai+Ai7XWq+M6KiKqm9q2lQUALrlEfm7ZAsybB8yZA7z8MlBaKlXYzz0H5OUB99wTvI25cyXY/vlnWR8A2rQBBg+W5bjjgHbtJAQn8iIxUSZyPOYYmdSxqAj4/HOz6nr9evvHVlTIBJILF8pkkllZwAknmNXerVtX3e9BREREREREVIc4BthERHHXrBlw3nlARgYwYYJ5e3KyVGkH2rsXWLq08jbWrpXl1UMt+fPzzTB78GCp2GagTV5lZwPnnCOL1sBPP0mQ/ckncsBl/377x+7eLROdTp8u1zt2NMPswYOB9PQq+RWIiIiIiIiIajtXkzgSEcVdz55S9ZqXJ9fPP79yH+xly9xta+NG4I03gGuuATp1kpB85MjYjpfqF6WAI48Ebr4ZmDkT2LlTemaPGwd06xb+8T/9BDzzDHDaadIr+8QTpU1OYSEngyQiIiIiIiJywACbiGqGZs2k9/D69RI+jxtXeZ3+/aWtw7Bhcr1hQ3cTOm7dCmzaZH8/A0TyKiVFWoQ88QRQUCD715QpwEUXAU2aOD+2tFRak9x+O9C9O9C8OXD55bLfb9tWJcMnIiIiIiIiqi28thDRhxYiovhITpYQ0E5JifTBBoA9e+Tno48CZWVy+4IFsk6owYOtt+f3y0STRx1l9tHu3Rvw+aL7Pah+OewwCaEvv1z6YX/3ndk7O9ykjlu2AK+9JotSQK9eZruR/v25LxIREREREVG95hhgK6XKEBxYJwH4SYX0ktVaJ8d+aEREFiZNAg4eNK+3bSuVrEYldmkpsGSJhNlz5wJffQUUF9sH2MuWAevWyTJrltyWlgYMGGD20e7bF0hNje/vRXVHQoIcBOndG7jrLjnQMnu2GWivdpgHWWvp8750qRyYycwEjj9ezjo46SQ52EJERERERERUj4SrwB4NVlwTUU3Sp4+0bvj8c7l+3XXBbUSSkyV8HjAAOPdcaU3y44/SqsGKUc0daP9+6W/82WdyPSUF6NfPnBSyf38JuYncaNgQOPNMWQDgl1/MMHv2bDnAYmfvXuD992UBJMA2qrOHDpWAm4iIiIiIiKgOCxdgv6+13lUlIyEicuPEE2VZuRKYMMF+ckatgQsukJ7aV14pE0K2bl15vaVLwz/nwYNmRfdDDwFJScDRRwN33gkMHx7d70P1T4cOslx/vZwxsGCBGWh/+63zY3/9Vfb7CROktciAAWag3aOHVH8TERERERER1SHhvun+rpT6VCl1nVLqsCoZERGRG506Ac8+CzRqZH3/ggXSh3jHDuDxxyUw3Lq18nqvvCJtRCZMkMC7WbPwz11eLtsvLY3udyBKTpaq/kcflYMpv/8OTJ0KXHYZkJfn/Fij7/tdd0m7kmbNgEsvlV7aW7ZUzfiJiIiIiIiI4ixcgN0RwIcALgKwXim1QCl1u1KqQ/yHRkQUheeeC75+8slShR0qIQHo3Bm49lpg2jRg0ybgp5+AiRMlDGzZ0v45jjvO+vZ33pFq2JtvBt59F9i2LfLfg+qXpk2BSy6REHrTJjkI8/e/Sx/s5DDTTWzbBrz+ukwkedhhsg/ecQfwxRfBfeOJiIiIiIiIahHHFiJa6zUAxgMYr5RqCuBMAGcDeEgp9TOA6QD+q7X+Pu4jJSLyom1bICcH2HWoC9KNN9qvu3OnWcmtFHDEEbJceaXctnat2ULkyy+ljcNRRwG5udbbmz0bKCiQ5Zln5LZOnaTS1pgYsnnzmPyaVIclJEgIbQTR+/YBc+aY7UZ+/tn58cY++MQT0rN96FBpNTJsmOzfIRMyExEREREREdVE4Xpg/0FrvRXARAATlVINAZwO4M8AxiiltgEYo7V+Lz7DJCLy6JFHgLvvBt58E/jwQ+mbbaW4GGjXDujbF7jhBuC004InhQSANm1kufxyub5hA7B5s/1zW00MuXKlLC++KNc7dDDD7MGDrftzEwVKT5f987TT5PratWaY/fnnwJ499o/dvx+YOVMWQPY3o3f2CScAWVlxHz4RERERERFRJCKa7UlrvUdr/YbW+jwATQDcAmBfTEdGRBSttDRg1Chp42E3ud3UqcDu3cCnnwJnngkMHCgTQDpp0UImcbRSVCRBdTi//AJMmiSheJs2Eij+5S/OISRRoDZtgKuvBqZPB7ZvB+bPB+69Vw7GhKuuXrcOeOkl4JxzgMaNgWOPlQlKFy0C/P4qGT4RERERERGRG54CbKVUA6VU0IxpWuuDWusZWutPYzs0IqI407pyr+wTT4yutUJ2tvQifv99YMwYmVzPLjwPtH49MGsWkJkZ+XNT/eXzycGXBx8EFi6UfXDaNGDEiPDtavx+4KuvgPvuA445RvpwX3ABMHkysHFj5GPasQNdb79dJlIlIiIiIiIiilDYFiJKqVMBXApgKICmh27zA/gOwEwAk7TWUXzDJSKqJjt2BLdOSEwErrnGfv3yciDJReelRo2AM86QBZCq6q++MvtoL1ki2wo1aJB9eH7hhfIYo+VI167ugnGqnxo3lhD6ggvkQM3y5Wa7kS+/dJ7UcedO4O23ZQFkklOj3cigQUCDBu7GMGUKGi1eDLz6qhzMISIiIiIiIoqAbRKjlDoNwJMAGkOC6gcBbABwAEAjAF0BDANwt1JqIoD7tNY74z5iIqJYadJEguVvv5VK7LIyaQ9iZdkymfzu6quBq64CDjvM/fM0bAiccoosgEzGt2CBOSnkwoUSKA4ebP340lJgxgygpETaoQBS6T1okDkxZI8e7sJ1qn+UArp0kWXsWNmPvvzSDLRXrHB+/PLlsjz1FJCaKvubEWh36mR90EVrYPx4KAAYPx649VZOGklEREREREQRcUo7ngBwL4D3tNZlFve/BQBKqXYAxgK4CsDfYz5CIqJ469VL2iU49b5+/nmZuPGBB4CHH5afd98d2fOlp0urEmNiyQMHpPdw+/bW6y9ZIqFjoKIi4IMPZAGk9cjAgebEkH36AMnJ3sfWq5f08M7IkOA9O1uqeXNz0b60VIL3nBzrJTu78gSYVPM0aGAG0ADw22/AJ59ImP3ZZ8CuXfaPPXDADL4BOeAzbJhs68QT5ewDAJg3T3rLA7Kvzp8vB1yIiIiIiIiIPHIKsLtoHW4mM0BrvRrA9UqxtIqIajm7l7GiIuC118zr5eXAEUfE7nlTUyV0tjN/fvht7N0LfPSRLICElAMGAJddJhNFutWpE1BYKJMCbt8edFdLAPjvfyUYT0oyW5iUl0uVeKdOQEGB++eimqFlS5nsdNQo6Ye9eLEZaH/zDVBRYf/YDRvk4M/kybI/HH20hNlz5siZBoD8HD+eATYRERERERFFxLaBqpvwOpr1iYhqje++C+43nZ8PnHVW1T3/mDESKv7zn9JXOycn/GNKSoDPPwd+/NHbc/31r86V236/bHvvXqmw3b1bAsrEROCEE7w9F9U8iYlAv34yoeNXX0mf+HfeAUaPBlq1cn5sRYW0w3nwQWlRYnws0Fpa4CgVvJx5Zvx/HyIiIiIiIqr1XM0AppS65NBkjsb1B5VS25RSc5RS+fEbHhFRDTB0KLBxI/Dss0DHjjLRo89nve60aRLMffqpc0sSL5KSpCXI2LHA++9LZfT33wPPPAOccw6Qm2v/WLu+2qtXS1B5xx3Ahx+a7R66dpXFq8RE4N57vT+OarbsbNnHXnoJWLtW2ss8/bT0c3c7mSMgBz4CJSdLz/n77pOzGxYskP2ax8KJiIiIiIgohHJTOK2UWg5gjNb6Y6VUTwDfALgPwMkAtmitL4rvMMOObziA4fn5+aOnTp1anUOpNsXFxcjIyKjuYVAtwn0mQhUVUOXl0DZVyj1vuAFZy5cDAPa1aoWfx4zB7u7d4zsmrZG2fj2yCwqQVVCA7MJCpGzfDp2QgPkffAB/WlqlhzSbNQtHPvGEuYmEBBS3b4+i7t3hT01Fi3feQdKBA66e3p+SgnWXXor1l14as1+Jar6E0lI0/OEHNFq8GI0WLkTG2rVRb7MsIwMlLVqgJD8fJS1aYP+hnyUtWqA8MzP6QVONx/cmstJ79GikrV8Pf4MG8KeloTwzE2WZmSjLzkZxRgZUbq7clpGB8szMP5ayjAyUZ2RwfgYKwtcZ8or7DHnFfYa8qs/7zNChQ5dqrfuEW89tgF0M6Ym9Vil1P4DOWuvzD4XZs7TWzaIfcvT69OmjlyxZUt3DqBZz5szBkCFDqnsYVItwn4mDpUulUjrQjz9K1XZV0loqrH/4wb7VyYgRwJQpsXm+nBzphWwRlFM9snmztKCZOtW5b3akGjcGDj9clg4dzMuHHw5kZcX++aha8L2JLF1yCfDWW5XP5jAkJnJ+BnKNrzPkFfcZ8or7DHlVn/cZpZSrANtpEsdAZQBSDl0eAuCtQ5d3AWjoeXRERHXRe+8FXx82rOrDa0D6C7dvL4udL7+MzXOlpwOPPirhdWmptFbhnL7102GHAddfL38He/ZUvj8hQfaPgwcj2/6OHbJ8803l+3JzgwPtwKCbldtEtd9f/yqTCJeUWN9vzM8QKjWV8zMQERER1QFuA+yFAO5VSn0C4FgAIw7d3hbA5ngMjIio1nnwQeCkk4DnngPefRe44Qb7dcePl+qwkSOlsrSqzZsnIfbcufJzxYrItpOVBYwaJZdvuQV45RWgWTMJM51+5uVJpRzVLUuWSG9rAFAK/uRkJJaWylkBKSkyEelZZwGrVlVefvkFcNm2ppJt22T5+uvK9+Xl2Yfb6emR/65EVHWM+RkWLfL2OM7PQERERFQnuE0PxgB4E8DpAP6mtV576PZzIP2wiYhIKeDYY2XZtEmCMyslJcDDDwM7d8okdpdcIlXMTZtW3VibNwcuvFAWQMK/L780Q+3CwvAT6mVkyIR+xoSWmzdLALl2rSxOlAKaNDED7ZdfBlq2rLye38/epbXJvHmyf6emAnl5WHnllegycSKwdavcPn8+cN11sv+FTjBaUSGTpVqF27/+KhX+kfj9d1nmz698X/Pm1sF2hw7eJqkkovi7917g4ouBvXvdrZ+WBtx1l7S5IiIiIqpuvXoBK1fK9+iGDYHsbClmy81F+9JSmdg+J8d6yc6u99+LHQNspZTSYgUAq1nI7gBQHpeRERHVZs2b2983bZqE14AEvtOnA888UzXjspObC5xzjiwAsGuXVJFfc419z9H8fHN9ANiyxf3zaW1WzRYWSu9SK3//O/DYY2b1tlNld5Mm9f5NvdotXCj/B2eeCUyahO2LFwO33ipnGrz7rtxvJyFBDmK0bAkcf3zwfX6/9Fm3CrdXrzarvr3atEmWuXMr39eihXXldrt2EtATUdU69VT5wuc2wE5JkTODiIiIiGqCTp3ku+/27bIEaAlIuzTO6WErXAX270qp9wH8F8CnWuugb4ha631xGxkRUV01cWLw9VGjat4EiDk5wJVXSuj48ceVq7HT06VVivHGCgBFRZE9V0KChM9WNm8G9u2TCtxff3XeTmKiVLEbgfZjjwHdulVeT2v26Y6XTp2Ae+6RwNqQni6Tr02eLPtTJBITgdatZTnxxOD7ysuB9euDW5EYl9eskfsjsWGDLLNnB9+uFNCqlfWEku3a2R+MIaLIaA3s3y9f9C65RN57wrUbCpyfoaIi+L2KiIgoFlhNS15xTo+ohAuwLwBwFoAXAGQppWZBwuyZDK+JiCI0YwYwaRIwYQLw22/SUsHO448DgwYB/ftXT+h6993SFmJfwEu+UtKLNDRIXLFCKuM2b5ZqbKefgUec8/LsP8B5qer2+2XbmzcD330HPPSQ9XqvvgrcdFP4Pt2HHSYfQhl8uDdzpv19I0cGB9uxkpQkwXG7dtKDPlBZGbBunXXl9tq1Emx5pbVsc9064LPPgu9LSJCQ3apyu00bs90OUX1m1xrqwAHgttvMqqTt22Xi1u3bvffHD5yf4eyzgU8/lduys80l9LrVbR06cL4GIiKyxmpa8opzekTF8ROZ1no2gNkAblZKHQ0Jsx8AMEUp9TmA6QBmaK13xHugRER1RpMmwB13yBf1RYuAtm2t1/v5ZzlKCwA9e8qkkFdcUbWB6sCB0irk55/N21JTgWefrbyuUlJ90LAh0LGj83bLyqQv8ZYtweF4qJAPg540a2Z9++bNErTv3Rv8e1lJSpKA3Qi0x40Djjsu8jFR1fL5zJ7Wp5wSfF9pqVRoh1Ztr1ol4XS4HvBWKipkm2vWAJ98EnxfYqL8rQdWbBtL69YMyah2KikxQ+bQ0NnuthEjgOefr7wtnw944YXIDiwFCp2foahIKrj375fXfy+2bpUWW6FefRX43/8qh952IXlGBg+GEhHVNaympUhwTo+Iuf62pLVeDGAxgLuVUp0A/BnAdQBeUkrNh0zuOCcuoyQiqosSE6Wy2s6ECebl774DXnopPhWsTpSSN9lrrwWKi2XMxx8P9OkT3XZ9Pukx3KKF83qzZ0v4EK6ie8sWs6+4MW67STG9VHWXl8vEghs3yvWrrrJe77PPgPPOC1/R3awZ0KgRW5jUBMnJcqDF6mDLwYPSW9uqcvu33yJ7Pr9fgvJffgE++ij4Pp9Pwm2ryu2WLXmKKVWNgwcrh89dugBHHVV53RUrgKOPllDYK7sDk4mJ8voYzYFLoPL8DLt3R76trCzr25cuBd55x/12EhLM08unTQOOOabyOqtWyWSzVgF4w4Y8yOUVT+0nonhjNW39orV8ni8vl5+Bl61uy8yU73+hTj3V21mZnNPjDxF9EtJarwSwEsCjSqmWkDDbpoEpERF5VlwMvPJK8G033FA9Yzn/fODGG+VycjLw1FNV99xKmV8oO3VyXvfgQanqNlqU2H3Z37o18vHYVXVv2iRBe1ER8OOPztvw+YID7SuvBIYPj3xM1a0uhgQpKbK/We1zJSX24bZxoMOrsjI5G8DqjIDkZGmPYhVut2jBqk4Kb8sWCUadqqK3b5f3nVCPPmodYGdlRRZeA84BdePG1vcnJ8vZS8ayYoX1wUir+Rn27IlsnGlp9j3tvc75UFFhvkfYvTfNnQuMHm2/jYwM+0rviy8GBgyo/JjSUnnOrCx5XatPeGo/EVWF2l5NW1EhYWtFhf37xObN8p7vFNba/Xd+SVYAACAASURBVDzjDOvPqvPmyWu0m22GXh43Tj4bh/rsM+Bf/3J+rN22//Y34C9/qbzNwkIp3Cov93525ogRMgdQqIQEYNcud9sInNOD3AXYSqnVAI4ObRWilMoGMFdrbbH3EBFRxNLSpLrr2WflNOXcXKnwtVJeLmH3hRfKkd5YS04Gbr4Z+sEHoc49FzjiiNg/RyykpMjkeq1aOa/3+usScLjp1R1auWd1FB3wVtVdViZVvEYl78knW6+3YoX0P3fTqzsrq/qquutbSNCgAdC5syyhjAlHQ4PtX37x3rrAUFoqB0WsDoykpgLt2weH2kaLkubNa264XRcPesRTWVlw2GzXouPuu6XtU6ilS+3fP8KxC5sbN45se4Bz+Pvgg7LPB4bVTZrIF7jA17j58+W10838DKtWSTi/e7cZIgdeDr1uXHaakDXSSYsB2Ycj2WZxsSwbNlS+r3dv6wD7++/Nau/U1PCtTgIvG68ptRVP7Sev+N5ETrSW96d9+8y2VPv3y2tmJNW0mzbJXEdewmDj8rBhZpvJUF27ymubm+34/WYo26UL8MMP1tv885+BhQu9/XsZDhywDsbfesu6nZgbl11mHWBv2CDfmyNh9x6slHwOi4TTRPJJSe62GzinB7muwG4DwOoVOQVAmPO/iYjIs4QE4E9/kmXNGqnMtDsq/v770tpi7Fjg8suB668HjjwytuO5/noUvfcech57LLbbrQ4JCfKFpHFj+bDmpKREwmkj0M7Ls17PS4Adyi4U37xZ2qLs3AksX+68jdRUCbONQPucc4BLLol8TF4wJDClpwPduskSqri4cq9tY4n0rIADB2TfsNo/GjSw7rd9+OGyn1RnG5v6dtAjUHm5/E3n5Fh/4f3gA+DFF4PDabcVxBdeaB1gN4niJEm7ADs1VUKeAweCg+bGjSuHz6G3ZWTYP9/557sbl5f5GYz2HQ0bSkueWLjnHnmNtQvEQ28LrFaPNMB24mabBw6Y72du3Hqr9RlXJSXAsceGnwAz9HpmZtUeVOOp/eRVfX5vqkt27pT/PyNgDg2cnW77+9+lMCDUyy8DV18d/RwNgdW0a9YAzzwT2XacWjCuWiVnpXrl99vfF00LK7vtRrNNu2A4moNI8Rin07+pzxc+wA6d04OcA2ylVOBMVf2VUoF17okAhgGIsBkkERG50rat/USPgFQTA3Lq2nPPyYeWl16K7Rhyc1Hw9NMYkp8f2+3WdA0ahP/3B4B//lOCXDe9ukNPMbRrS+IlFD9wAFi7VhbAujoYkEDFCDDDVXZnZroLORkSuJORAfToIUuoPXuCq7UDw+1I+wGXlEgljVU1TUaGGW6HhtxNm8Y/3K4rBz38fvOLcriJC43FCBQLCqwPdGzeDHz4YWTjsdtX3AbYiYnBYXPjxs7zHWzaJPtSdRwMidf8DG717SuLW2VlZqBtd9p49+5SVWZVDR6uj3dVh+Lffut9e0oBp58OzJhhff/TT0s4ZDcpptcqR6D2n9pPVauuvDfVJgsXyuddN+Fy6G3ffWcdLt57b/A8Ql7ccot1gJ2cHH14DQRX00YTtoar7I0kwHbaZjyC4Zq2TbeheEKC/BsnJpo/Ay8H3mY3HxMADBki76fffGO/b4XO6UFhK7DnANCHlv9a3F8MmciRiIiqw7JlwJw5wbdVV6/s+iwhQT6kNG1qHUoF2rcvONC26+0dTVW3XSi+eTOwbZssdqcJGtLSggPtE06QsMgKQ4LoNGwoLQB69658X1GRddX2qlXu++eFKi6W1gLff289FrvK7caNYxNW1sSDHn6//HtaBc/jxllXjt54I/DCC5E9X7Rhs5UdO6xvb9oUOOus8FXSWVneKmTj0bLKi+qcn8Ern8/8t7Zz3nn2rV78fnl9tWuDYnfWld8v/7dFRc6VYFbsJrCMdFJMrZ3bsjzySPgDdmlplcPt1q3t/w47dJBw0e17EyfKqt9q4ntTvGktB9iMgDgpyf5swxdekAPudqFy4PXAy23aSGW7ldtuk5ZQkSgpsX4fiqZXsN3cDrHoPxxaTRuvyt5IQlwjcLWTny8tO8IFtla32X2uGDhQCnDcbC/0frt2lscdJ2cme92ecQDfSocOMk7jzItYHbSfOVN+nnIK8PHHlftrW83pQWED7JYAFID1AHoB2BZwXymA7Vp77WROREQxk5cH3H8/8O9/S+B53HH2AerWrTLJXM+eVTtGCpaeLtUdVhUegW65RU5Rd9OrO/QDdyx6de/fL5MVrl4t1zMz7QPsm26yr1iykpAg++kPP8iXRSs//ywVCYEfNu0WNx+Ua6vsbODoo2UJtWOHfVuSSEOmPXukutKqwjI72z7cbtTI2/NU9UGPmTOl1UpoOG1c37nTfnKe0aOtf794tOaw+gKllBk6h4bPgdftDoZlZkpVYV1TW+ZniIXERDO4bd3a/eMuukgWreU1PVzf78Drdv2v41HVrbW77RqB2KZN5m1Ofbqvv14O2LphtJr505/kPWXOHOugYuJE4Msvg8OP0MXu9osvtg4Hf/1VDijaPTb0tsDrubnWIV5Fhfy7xjJwqQ9q0gF5I1y2C4fbtrX+LLltG/DAA/aBcuj1wDD0gguAadOsx3PnnZF9tnBqgxVNMLxvX9UF2Onp8tPnk8tpaeZiXAeA2bPdV9Pm5gLjx1cOUt0Ew3aFKgCweLH8zTs9PvCnm8/Nb7wRfh2vzj5bllhq0cK5vUokEhLiOwny3XfLhJZu5vQg5wBba73x0MU69m2QiKiOyM2VD6l33QVMn+58qtLzz8sEWQMGSJX2Oec4V0MB8uF5wQJg0SK0LiyUL1h9+wL9+/MLUbwZH1CdPqQC8n9UXBwcaPfrZ71upBMJAvah+N690sfPi+JiYPhw4Mwzgffes17n2GPdBw+BWrQwJ8gMdfHFEkq4CcJDl3fftf6C+vbbZrVHuG2EPteFF0ogHGrtWplJ3e348vNl8tJhwyTcys+XgDQw0P7pJ5kYdO1a+y9o4RQVAUuWyBKqUSPrYLtDB+vQ6tRTpRrJbUjg88lr1//+Z9+iw+cDvvjC+vH//rf0l47E9u2xDbAbNZKeqVa6dpX9KTCc5uRg9urS/AzxpJSELOnp8voQjS5d5LR/p4kwrW4rLrav6i4pcT593YldKA54C9srKoB162RJTLT/jLNgATB1qrcxGoYOtQ6wP/5YwvZIvPyy9QRfS5aYE3h6DcYvvFA+V4aqqADOOCN8WG+13Vat5GCglffek/8rr9tNSrIv2iguln0q8DFuDnJ7fW9KTpbQ95dfnFtfnH66VCKHmj8fuO8++4DZqdL24Ycl/ApVUhJ5C43AEC1UWlpkAbbTZw4jGI6E3Xbz8uSzR2jAbHc98Da7NlTDhsn7drg2Rl6qabOy4nPGR10+mFsXeZnTg+wDbKXUAAALtdb+Q5dtaa2/jvnIiIjIveRk+cJhp7RUAhwA+PprWV58USYksVJWBkyaBDzxhFRul5WhTWmpPI/PJ0H57bfLlyZOLFG9lJIKlMzM8B9azztPqvTDVXRv3ly5f14senWHcgrlvJ7ubnD6crp9e+Qhvt14vv8+8sqUPn2sA+ylS+2/6IdjfKHNzZVlwKGPcOvWWX95jpWdOyXUspqlPilJ+skbXxIzMiTMuPVW4G9/c/7CbNi9W8IfJ6mp9vdFWy1t9beVmyvhWbhJCwNvy8lxPm24USMJiMid+jo/Q3XKyPDW/9tQXm4fUmstZ5PZVYMbP60qGzMy5EyhXbtk2blTfv7rX8DKld7HCcjzdOgg76+hSzQHgq+4wuwbH7hs3Bj2obaef1765oduM7ClkPFv77YvbkUFsGFD5W1WVJinvXuVny+/p1ERHrg8+2xknyUSEiQUVKrydl95Bfjqq8qPMdYNPGsr8HpiohxAnznT3b9XUZH1+3io1q2t34N375aq3UjEo92FU9gc6Xad3uOPPlq+c7gJmgOvOx2Mu+46WWIpXIsNA6tpyavqntOjlnGqwJ4PoBmArYcua0g7kVAaMqEjERHVVO++C/z+u3k9M1OqUa0UF0sFwbffBn2QVYAE4aWlUnE7dqwEdx9+KF/IqOZLSpIP/OHCHq3lS1VgsN2rl/W60XyZd/oyEGk1XjxCcaftRrNNuyCzpo2zYUP5gumlTUyg8nKpZgusaCsslGrqWDpwQF6zrL5kuwmws7OtW3Tk5lqvb7RnIKLwjCrYUEal4qhRwQF04OWdO80JU42WP7t3y+eV2bPDt+TySmtp6xFrBQWx3+Z338kSS8uXyxJLGzfKActYqqjwHlRqLe+HTu+J06dHNy4rdiFuPNtduOXzmcGwUyuUkSMlsLcLlJ3CZzt33ultrDUdq2kpErVpTo9q5hRgt4XZ87ptFYyFiIjiJT9fjvx/9plcv+IK675xZWUyWV9BQfjKk/37ZaKbU08FPv+cldh1iVJmv1W7ycEMAwYA69dLkF1QIKdBl5VZr5ueLpVNFRXy5dGu/zUg7Sf27pXw0/iyabcErhOvALu2hM3x2ObJJwNvvil9Z0N7bX/wgX2/x+rw+ONS5ZaVJcF7VpYs3brJl4O8PAmkQyulGzXiaxhRNA4erBw8h4bQdrfZvWcQ1RWRVksnJtoHxe3aWT/GCEzdBsxu3/us2spQMFbTUiTq05weUbINsLXW66wuExFRLXTcccCnn8rptBMm2FesTJok7Qvchl0HD8r6kyfbtyOhui0pCWjZUpa+faVyya7/33vvuT+F0qrPshtOYer06VKlaxd+O91u9yXzkktkYtRw27Patl1Lj7ZtpdLJS3BvLHaT1yQkyHbdbMPvD/53NE6zNibHCWzlkZ4eeU/teHjwQef7fT4z2A4MuL3c1rAhe1JT3eT3S4Wll/DZ+FmTXgeIqovPJ1XMublA8+Yyf0hGBtCxo/X6nTpJcYldX+ZIDqwqJXPdUPVgNS1FgnN6uKK03YzroSsqlQfgOgCdD920HMALWusoml/GVp8+ffSSSL/w1nJz5szBkCFDqnsYVItwn6FKtJYefXYT4Dlp104msOHEjjR/vlTshvb/O+YYmfyKagetzUp5wH7C1/Xrzf6qVkF4aalUbq9fL324f/tNTiXfuFGq9l1+Dq1xMjKcQ+9woXhWllTJ8TUzavw8E0JrOXvFSwhtXI5kgrbqlpEhZ1Dk5Jg/Ay83aiT9oB9+2LoNUoMGwLRpcpaG1pWXigrr2yNdj9usvm0aB2dDl9DbU1NlwuPCwtjsn/36SWuJgQPlstUZkFS3PPCAVNNeeinw2mvVPRqqJerz5xml1FKtddhTFZxaiARubCiADwBsB7Do0M2XAxirlDpDa20z5TsREdUaCxZEPiHf77/L4wc4zvlL9QH7/9UNSrmbtKhVq8ifo7wceOwx6Ytqd9ZHdrbcF9g/uyYoLpZl06bIt5GU5D30Dr2/vleD79iBrrffDsyaJS1h6pKSkshC6F27omsZVB1SUsKH0Fa3ZWe7q1CdMMH5/o0bOXkqBVu0SM42sjqzQCl571vn4iT14mKpsDZa+CUkyMESI9AeODC691GqmVhNSxQXrgJsAM8AmAbgaq21HwCUUokAXjx0X5f4DI+IiKrMokWR97I9cEBm3WaATez/R24lJQEnnQT84x/WAXV6OvDJJ8DRR0sgV1wsFaK7dwN79gT/DHebsdSkXrvl5VIZumNHdNtJT4+sFUrg5QYNamc1+JQpaLR4MfDqq8CYMdU9msrKyyMPoQ8cqO7Re5OYWDlkdhNC5+TI/hdP8+bJAYGUFDkrRGvZ330+uX3ePHnPIjIsWWL/mTg5GbjjDuC886R446uvZFm8OPz8MRUVwPffy/L883JbixbBgXa3bvbzblDtkJuLgqefxpBwk6YTkSduXxk7ADjXCK8BQGvtV0o9CSDG0x4TEVG12Ls38gDb77c+NdfYblJS/L+gUs3B/n/k1pIlEvJZqaiQ+48+WsIxI3CNxoED3kJvq/trWjX4vn2yRFsNHk0leFaWnBZflaGL1sD48VAAMH48cOut8QnhKyrk/z+SELqm7StuZGVFFkJnZtbcgyALF8pryFlnAe3aQf/971AXXiifXd59V+4nCjRvnrxf+HzyHmW0u0pIkJDaOOgxfLgsgNz+7bdmoP3VV8C2beGfa8MG4K23ZAGk7cgxxwS3HWnYMD6/JxFRLeL2U2YhgHYAfgq5vS2kFzYREdV2mZnyQb201PtjlZIvsFYmTADuvlsmsOneHfjLX6RHMtVdnE2b3KrqysjUVFmaNo18GxUVEkxGWgluXI7ktTZeyssldN25M7rtGNXg0fQHd1sNPm+e2bO5qEj67w8aZL2u1tIKIJIQuqgo8oO71SUtzVv4bFzOyqqblZ+dOgH33COT427bhqIPP0TOP/4h7a4mT5YQmyiQcdDjzDNlEvTdu+W9Y+hQOTPI6qBHSgrQv78st90mrzurVgUH2j/+GP65i4uBzz+XBZDQvGtXM9A+9li2HSGiesn2E4pSqnnA1YcAPH1oIsdvDt3WD8BfAdwWv+EREVGV6ds38gA7MVGqJK0UFEiV04oVsji1GVmxAujQwX7COKo92P+P3KiNlZEJCbGpBj94MLpK8D17ZKlJYl0N7hR6T5tmTha7bx9w1VXAsGH2wXRNah/jhs8XWQidkyNBGplmzjQvh57aP3KkLESBAg96GBPynXeeTMjn9qCHUnIA/4gjgBEj5LYdO4Cvv/bedqSgQBajnzvbjhBRPeT0KrcBQODU8ArA5IDbjNKI9wHU49ljiIjqiP79pSpxzRrvj83NlcdbKSgIvt6jh/V6u3cDnTvLl/ZOnaRn8ssv19xTkskZ+/+RG/W5MjIlRV5zY1ENHk0l+J494QOUqhRJNbjWUtnoprqxKiklEw1GEkKnp/P9j6i6BB70CD0gH81Bj8aN49N2JD1dWo2w7QgR1WFOAfbQKhsFERFVP6WA228Hxo61nnXdTloacP/91l+0/f7KVW/dullvp7BQfpaVyWW/3/7L+8qVEtx07MiKE6LajJWR0QmsBm/ZMvLtGNXgkVaCG73BtQ7/XLVRRkZkIXRWlvwfEVHtFc8D8lZtR375JTjQXrky/Hb27XNuOzJwoLQd4UExIqrFbL/1a63nVuVAiIioBhg1Cnj9dXenNALywbt3b/uQKTER+PlnCTcKC+VDuV1FyPffB1+3C7oB4KGHgDfflOfv0gV4/HHghBPCj5eIiCqLVTV4cXF0leC7d8evGjwlJXz4bHVfdjbbWhFR1VAKOPxwWa64Qm7bsQNYsMAMtBctiqztSH5+cKDdvTuLQIioVnHsga21dt3ATil1mNZ6c2yGRURE1cLnA2bNAk49FVi61LkSOy1NwusPP5THOcnKksm17CbYAqTqpEULOS0SkA/Wdoy2JAcPyjjtwoXiYhlfjx5A+/YSqBMRUewlJMgBymhPWz940Dn0/vRTeV33+ys/NikJuOgi4JxzKgfSbieHJCKqSRo3Bk4/XRZA5qr59luZuNZL25GNG4G335YFkLYjxxxjBtr9+7PtCBHVaErbnOqnlNoO4DUA/9Za/2SzTgqAP0MmcnxTa/1kvAbqRCk1HMDw/Pz80VOnTq2OIVS74uJiZGRkVPcwqBbhPkNOVHk5ms2ahVZvvgnfrl1Qfj8SystRkZQEnZiIspwcrL/oImw55RToGFdvJO3ejYw1a3AgLw8HDjus0v0JpaUYdMopUBUVf9w2/4MPUG6xP2f98AN63nQTAMCfmortAwdi5T33xHS8ZI+vM+QV9xkKJ3PlSnS/7TYkWRxgLU9LQ8GTT2LvkUdWw8iotuDrDHlVo/cZrdFg40ZkLVuGhsuWIWvZMqSvW+d9M0phX9u22N2lC3Z37YrdXbrgYF4eD/xFqEbvM1Qj1ed9ZujQoUu11n3CreeUOvQA8CiAQqXUGgCLAGwEcABAIwCdAfQF8DuAv2mtqy051lp/AOCDPn36jB4yZEh1DaNazZkzB/X1d6fIcJ+hsE48EfjnP+W0xcWLsaawEG27dQP69kVSv37oqBQ6Vse4Nm8G/vQnqcLesgVo3RrHGlUpoZYv/+Ni4oEDyGvaFHl2+/306fIhvXt3oE0b9i2NAb7OkFfcZyisFSvMXttKwZ+cjMTSUkBrJGmN3loD3IfIAV9nyKtat8+Eth1ZvBg4cMDxIUprZKxejYzVq5E/Y4bcyLYjEat1+wxVO+4z4Tn1wN4A4C9KqdsBXAjgOAAnA2gAYBuAbwH8A8An2q6Mm4iIajelgAEDgAEDsG7OHLStCW+qhx0GfPSRXN66Fdjk0O3KaDVicGpLct99ZuCdmQnMnQv07BndWImIKLbmzQNKSoDUVCAvDyuvvBJdJk6U94OSErn/2mure5RERNXHru1I4OSQW7eG3064tiP9+kmbQCKiKhD28JnWeguApw8tRERENUe4Sce6dAGOP16C7B077CeGPHgQ+PFH8/revVKFbWXlSuDdd6Wvdvfu0rebp1cSEVWNhQtlPoMzzwQmTcL2xYuBW2+VyYTffVfuJyIiU3KyhM39+gFjx8pZLL/+KkG20Ut75crw29m3D/jiC1kA+fzbtWtwlXbr1vxcTERxwfM/iIio7rrpJlm0ltYj2dnW661YETwhWKtWMumXlS++AO6917x+xRXAK6/EbMhEROSgUyfgnnsksDakpwNvvQVMniwhNhER2VMK6NBBlssvl9t27gS+/tpT2xFoDRQWyvLCC3Jb8+ZmmH3ssWw7QuTGjh3oevvtwKxZcgYFWbJ9JVFKXQdgstY6zKvWH+tfCeAtrfXeWA2OiIgoJpSSD9R2MjKAG2+USu2CAudWI6FtSY44wn7d228HGjWS7XXvLu1PWJVCRBS5mTPt7xs5MjjYJiIidxo1ik3bkU2bgP/7P1kAth0hcmPKFDRavBh49VVgzJjqHk2N5XQo7FkA/weZtNGNpwB8AYABNhER1S6HHw4884xc1hooLrZft7Aw+Lpd2H3wIDB+PFBebt62c6d9ZTcRERERUU3g1HbEWFasCL8dth0hcqY1MH48FCDfHW+9lX8PNpwCbAXg/5RSpS63lRqD8RAREVUvpWQSRzvXXgv06iWV2IWF9gH2ypXB4XXLlvbh9TvvADNmmJXavXpJJQwRERERUXWzazuyYIEZaC9aFH3bkYEDZZ4Zth2h+mLePGD3brlcVCR96QcNqt4x1VBOrwqvetzW6wD2RDEWIiKimu/yy80P7hUV9kfIQ1uNOLUl+ewz4D//kQUAHn0UuPPO6MdKRFQXaS2hyaJFaF1YCHz/PdC3L9C/P6uWiIiqSqNGwGmnyQJI25Hvvguu0v799/DbCW07kpYW3Hakf3+2HaG66+mn5UwFQH6OH88A24ZtgK21HlGVAyEiIqp1EhLs7xs4EHj2WbNSu18/+3Xdht2lpfKBpnNns1p78GAGNkRUP5SVAZMmAU88Ib1Yy8rQprRUTnX3+YCmTWXugVGj5DqRgQc9iOIvOVmC52OOkT6+WgOrV0tFqZe2I/v3A7NnywLI32iXLsFV2m3a8G+Xar6SEjlTwVjGjZMJUgMpJX8rgPycObPyvn3GGcD771fNmGswnpdBREQUDx06ADfcEH49vx/44Yfg2+wC7BUr5PTMRYvkesuWwPr10Y2TiKg2KC4GTjlFJhXbv/+PmxUgB/dKS4E1a6RX6xtvAB9+KBP0Uv3Ggx5E1UcpoH17WaJtO/LDD7K8+KLcFtp2pHt3/g1TfGgtldGBQfTOncCOHZVvC13C7dvG9gOVBnRxTk0F8vLk7FxigE1ERFTtPvhAqrALCoC1a+VDuRUvbUnGjpWKF6NSe/hwoFWrmA3ZFqvciCjWysokvF68WCbIdbJ/vwQip54KfP45A436jAc9iGoeth2h6qI1sGdPZEF0WVnVjzctTb6/TZoEpKdX/fPXQAywiYiIqlNiIjB0qCzheAmwv/46uFq7TRvrANs46h9tuMwqNyKKl0mTJIQMF14bDh4Eli4FJk8Grr46vmOjmokHPYhqB7u2I4GB9vLl4bfDtiP1h98vkx56DaJ37ZLH1gYpKcCTTwLXXFPdI6lRGGATERHVFnfdJV/IjWrtwYOt16uocN+WpLBQ+mp36ybrDBoEXHiht3Gxyo2I4qGkBPjtN+Dhh4NeW1zZv18OqF11VeXAYtIkuS0hQZZLL7We02DdOjmLJCFB1m/VSl4rrRQUyCnGxnY7d7Z+nTtwQLZrrJeaCrRoYb3NvXvl9dMYZ4MGEvZY0ZrBTCAe9CCqnQLbjvzlL3Lbrl2V246UlDhvx6rtyGGHBQfaPXrwgFV1Ki+X/1uvQXRRUeW2GzWVzwc0bixnHoQu+/cDU6ZYtxlJSQF6967y4dZ0DLCJiIhqiyZNgD/9SRYnq1ebs1kD8iEpP9963YICCUmMLwXr1tkH2Lt3Aw0bBockrHKjaLHtTN1QVARs3CgHtIqLJSg46ijrdW+7TV6niovlterNN63PEPnmG+D44yMf0++/y741YEDw7aNHB3/5vfRS68d/+qmsaxg1Cnj5Zet1r7wSWLLEvL5oEXD00ZXXW7kS6NXLvN6jh5w+b2XcOODf/zavT5gAXHut9bqJifI7GWH7wYNyW6j//Ae49VZzvUsvlSovK+edByxbZobtb74JdO1aeb2ffwZGjDCD9iOOACZOtN7mCy8AH31krnvVVcBJJ1mvO2qU+dxKyWOtDjQsXAi8+665zT595OBFLA96EFH1ycmRz46nnirXS0vls4Lx2XX+fHdtRzZvBt55RxZAWjT07RvcdiQ7O/rx7tiBrrffDsyaJeFlXXfwYGRB9J491T1y9xo0sA6hjcUupE5Ls38/mTDBvE8p+JOTkVhaKu/lZWXymcLqc0Q95irAVkr9BGAigCla6+3xHRIRERFFpX17YMMGCacLC+VDkN2HJy9tSU45BfjxR7Nae9w44H//Y5UbZLCTBQAAIABJREFURYZtZ6rPpk3Ali1m2Nyli3WAXFoKXHaZuV55uYQFVl59FbjlFvP6jTcCzzxjve4nnwSfJbJrl/XzR9vzsbxcDq4FBthaV67csnt9rKgIvm4VntqtG4ttho7Tbt3A38nYvt26JSUSKhj27rV//jVr5DXfYPc6v3evtK0yFBfbb/P774EZM8zrw4bZrzt5cvB1o4oyVGEh8I9/mNfPOENeUyJhHPRo3lzOSGrYUJYjjpB93MoPP8h7rrFuixYSuBFRfCQnS/Dct68ckIum7cicObIA8rrdubMZaB97bGRtR6ZMQaPFi+U1Y8wYj79cNSopsQ6awwXRgUUzNV1GhnMQbRVG5+RIgB1r8+bJv3lyMpCeju09eyLPOJu1pETutztoXU+5rcB+HcD1AB5WSs0A8G+t9efxGxYRERFFTCmpuM7PN6tV7KxaFXzd7vT4igoJCfbtA+bOlWXsWFa5UWTYdsa9n3+WL49GiDxkiHU49ssvUtlsrNeunfzbWbnvPjl4YHjppeBKY0NSkkyQFRik+v3Wlb2h/z9OIabbdaP9Py8trRzQWp12XJVhczShuFOAHSoeobzb38npdb0qfqdt2yKfcMs46DF4sITSBqeAZuJE4NlnzevjxwcfzAl02mkSVhhh95NPWreF2bVL/u6N9VJS+H5Z1Xh2UO0Ry7Yjy5bJYpz94rXtiNbA+PHyeWb8eAnYq3J/0VperyIJoq1aWdRUWVnhg+jQMDonx74NV1UrK5OzvAD5XLVvH5p+8YWMz+jT/cknsh6LOP7gKsDWWj+olHoIwDAAVwL4UCm1AVKV/YrW2sX5GkRERFTjvP8+sH692Ve7f3/r9ULbkuTkSG/aaKvc7rtPAgyj6vadd6zDsSVLZKw+nyw9ewInn2y97fnzJRAzttmjB5CZWXm98nI5fdFYz+dzDnMoNupy25klS8wAubgYOP98633qs88kuDLWO/VU4JFHrLd52WXmZKyAVLpa/Z2WlMjfiMGpstZtgJyQIKe/Bv7t79sngVqk27Ra1y4cbNhQvnzu3BlZv8vkZOu//ZEjJfSsqHDebuvWUs1rrGvVPsPQrZv0sza2aVc9npIi1bzGenb9rwHZRqNG5vPbffGOR6W4l+26De+9bDOa36m8PPIA2zjoEXpqu9U+b3C7rt8vB+MMSgH/+pf1uu+8Iwd5DVdead+W5fHHzbA7MxO46CI5gyVUuOp8Ejw7qG4IbTtSVibtmgKrtLdsCb8dr21H5s2TlnuAtNaaP1/O5vBKa3ltiSSIjvT1r6opJf9PboLowDA6O1sOsNdWRhFHUZFc9/sBv98s4jDs2gWccEL9LuII4fp/XWutAXwM4GOlVC6AqwDcD+BvSqn/AXhKa21zTiERERHVSEpJSGMENXZ++00+PBmhVPfuEkBGU+W2aJGEkoHsvlgvXSoTuRlGj7YPsG++WSp7DYsXS0/UUAUFwbf37Bn8uED33SdfXoyg++67gT//ufJ6Wks4lpRkftkdP946JFq5Ur5AGds84gjrcQJSXVtWZm6zWbOaU0XiVU2YXK2kRLZpBMhJScBZZ1mv+9JLwLRp5rq33Sb/x1aOOy64wmv4cOsgc+tW6QNs6NjRfqxuw14vAXLomMKFzYHPWVxsHdDl5gKdOsn6GRlyGradO++UcM5Yt0sX6/VatJB2E8OGRXaKclJS5f6RCQnB1edOTjlFFjemTHG3XrduwE8/uVv36adlCScpyWwjYoTddkaOlAMrxnpOp0W/955U5Bnrtm9vvV6nThLSGOs5tX654Qb5uzDGGtgPPJBS0m/cWM/pQEO/fhLiGs+/bp28vgcGAW4ZBz3iEWCHHlTKzLR/zwvdplN48dprwIoV5vUTTrAOsBctknY6mZkyxgEDgLfest7mp58Ca9eaFeA9ekglal3Hs4PqLp+vctuRNWsqtx0Jd7DUqe3IgAHAc8+Z76nFxfJ58b//rdwjOlwIvWuXWYlb0yUmug+hA4PorKz6d0AtsIgj3P9vRUXtKuKoAp4PWyilOgIYDeByAMUA/gMgH8AXSqnHtdb3xXaIREREVO2GDpWKkjVrJBho0ECqTaOpcjMqDww+n301YGgQ4RTeho7Jbt3Q9Zw+GG7YIIGzYedO6/X8/uAgKyHBPoCaPRu4/nrz+jXX2AfY550npy8bvv1WAvdQS5dKiwkj6O7dG5g503qb48fL6YlGgH7ddRJ8hNIaeOABc5vJyfanx69fLz1zjXWbNwfatg3eVqRtZ+6/X4Kx5s3tJ/YbN04qlI2w+bXX5EtlqE2bgiui2ra1D7DXrJH/K8PmzfbjzMgIDrCLi63DPLehtNW6btttOIXSrVrJ/pOeLo8L/D8KZVR9GmFzkybW6x1/fHCI5mToUHfrAVLd1rSp/D94lZdnf1ZJXaSUBAlWZ7EYUlNlcaNNG3frZWZa/51Z6dnT+rUrVEKCVLhGss2vvwZefz2yANs46NGrlwS4e/bIkpZm/5gePeRv2KjctgqPgfiE4l7W3bPHrOrcsye4F3qoSZOCw+033pDK7lD79sm/lRF05+bKAT8ra9bIwQVj3aZNnX+vqlaXzw6iypSSVlvt2smZToB8Lg1sO7JwYWRtRwLNm2f/vlnT+Hz2kxE6hdGZmWyr41ZNKOKoxdxO4pgK4DxIcD0QwFcAbgHwjtb64KF1TgLwNgAG2ERERHVRQoLZYxCQKkKfL/Iqt9BAwEso7fRlMXQ8duu6Dbq9rBvNNmPxOx04EBxc7tplv82CguAq4OHD7cf54IPm9aQk+wB7xgyZvM9w3XXA88+b1xcsiK7tzGWXAWeeaR9gr1wZPJmc3YEGrxXIXtbdti143by86LZ55JHyu4cLkLOzgenTzVDaqnWG4eqr3X8RstsvqopScrr+2LHeDnykpcnj+KW6/onFQQ/j7CQ37nP59bdJE6lsNgJkpwMNxoGlPXvk4HE8KsC9bNPu9WTPHunTb7AL7wEJwe+5x7z+178Cjz1mve6oUfL3boTdd91l3ft//355n2vYUF77oqnmZLBE2dnBZ96UlUnxwPz53tqOVLcGDbyF0EYQnZbG98x4iqaIg3MHAXBfgb0ZQAWAqQCu0VpblVcsBGDzLYGIiIjqnL59Iw+wk5LktO/PP5cvCKWlzqdtDhggIWppqazvVO03aJAED8Z2nYK87GxzvViEzV5C6aoI0Gta0L9oUfS9GeMxOWAs+jUDUrnZsqUZNtv9W3XvLpXxGRkSujRubL/Nxx+3vy+Qz2fd1qYuGDVKKmrdVEYC0me6d2/7Vi9Ut9XUgx5pacCJJ7pbd9w4WQCzPYydxx+XkNsIxu1aWoS+zlV3KO607owZwPbt5nXj3yLUZ5/JQU1A/t/OPtvsVRxq8uTgCvBTTjF70DNYIis+n7yvH320dduR+fOl7Ui8GJ8PvIbRTq2hyN7+/eb3jNJSOaBp1Wt7+3Y52GWsl5sLHHus9TbfflvOTistlbN6Ij0AYswdNGBAZI+vI9wG2LcAeEtrbTstqda6CIDD+YdERERUp0Rb5TZokPsvfP36yeKG3URXoQYNCq5QdgoInnoKuPde88OqXS/YlBT5kmys51QN1rWrBHPGh2Wn0+rbt5dtGdu1awEQj1DcbdDtZt29e2tGgJ2WJvuvETRnZMj/v9X+eNZZ0qPZCJutKqoNdv1kQzVubE4sReH5fMCsWfJvtnSpc8iUlibh9Ycf8rT++qwuHfRQyvm98ppr3G3n8suBSy4xW504/X2ceab05t+zR9Zv1sx6vZrQFsWgtfPv9PrrwBdfmNc//dQMsKM5O2jdOunT36wZMGKE/RlC99wj7+NJSVJ9f+ed1p8RVq0CvvnGXK99e9k3rSxbJmdeJSbK+u3bW7e7KS+Xg6/GesZC3oS2HXnxRe8HyhIS5PNe377OIXROjrwu1QbG52er16l9++RvxPism54OHHWU9Xa++AL49Vfzs+5ppwGHH155vb17gTFjZL2yMvlMbDe3xcSJ0srPeP5rrwXuuMN63SOPlDl/DGvXWp+Js2RJ8PwYw4YBH39svc1p06QHuiHSv7vycnk/Y4DtynsA0gAEBdhKqUYAyrXWeywfRURERHVXTa1yi5TTeJo3lyWclBT5AuvGSSfJ4sasWe7WO/54qcQzPqg7naJ+zz0S1hjrHnOM9XopKdJ/2k2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\n",
      "text/plain": [
       "<Figure size 1800x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "SNR=5\n",
    "tput_DELAY_BLIND_5   = np.array([tput_DELAY_BLIND[i][SNR-1] for i in range( nrof_delays )])\n",
    "tput_HYBRID_5     = np.array([tput_HYBRID[i][SNR-1] for i in range( nrof_delays )])\n",
    "tput_E2E_5       = np.array([tput_E2E[i][SNR-1] for i in range( nrof_delays )])\n",
    "\n",
    "SNR=15\n",
    "tput_DELAY_BLIND_15   = np.array([tput_DELAY_BLIND[i][SNR-1] for i in range( nrof_delays )])\n",
    "tput_HYBRID_15     = np.array([tput_HYBRID[i][SNR-1] for i in range( nrof_delays )])\n",
    "tput_E2E_15       = np.array([tput_E2E[i][SNR-1] for i in range( nrof_delays )])\n",
    "\n",
    "SNR=25\n",
    "tput_DELAY_BLIND_25   = np.array([tput_DELAY_BLIND[i][SNR-1] for i in range( nrof_delays )])\n",
    "tput_HYBRID_25     = np.array([tput_HYBRID[i][SNR-1] for i in range( nrof_delays )])\n",
    "tput_E2E_25       = np.array([tput_E2E[i][SNR-1] for i in range( nrof_delays )])\n",
    "\n",
    "plt.figure( figsize = [ 25, 15 ] )\n",
    "plt.ylabel('Spectral efficiency [(bit/s)/Hz]',fontsize= 'x-large')\n",
    "plt.xlabel('Delay [ms]',fontsize= 'x-large')\n",
    "plt.semilogy( delays, tput_HYBRID_5 / tx_bw, marker = '*',color='b',label='Hybrid, SNR=5dB' )\n",
    "plt.semilogy( delays, tput_E2E_5 / tx_bw, marker = 'v',linestyle='--',color='b',label='Fully-DP, SNR=5dB' )\n",
    "plt.semilogy( delays, tput_DELAY_BLIND_5 / tx_bw, marker = 'o',linestyle=':',color='b',label='W/O prediction, SNR=5dB' )\n",
    "\n",
    "plt.semilogy( delays, tput_HYBRID_15 / tx_bw, marker = '*',color='r',label='Hybrid, SNR=15dB' )\n",
    "plt.semilogy( delays, tput_E2E_15 / tx_bw, marker = 'v',linestyle='--',color='r',label='Fully-DP, SNR=15dB' )\n",
    "plt.semilogy( delays, tput_DELAY_BLIND_15 / tx_bw, marker = 'o',linestyle=':',color='r',label='W/O prediction, SNR=15dB' )\n",
    "\n",
    "plt.semilogy( delays, tput_HYBRID_25 / tx_bw, marker = '*',color='g',label='Hybrid, SNR=25dB' )\n",
    "plt.semilogy( delays, tput_E2E_25 / tx_bw, marker = 'v',linestyle='--',color='g',label='Fully-DP, SNR=25dB' )\n",
    "plt.semilogy( delays, tput_DELAY_BLIND_25 / tx_bw, marker = 'o',linestyle=':',color='g',label='W/O prediction, SNR=25dB' )\n",
    "\n",
    "plt.xticks(np.arange(0, 10, step=1))\n",
    "plt.grid(which='both')\n",
    "plt.legend(fontsize= 'x-large',loc='lower left',ncol=3)\n",
    "plt.show()\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
